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Machine Learning Qa Jobs in Massachusetts (NOW HIRING)

Autodesk

Senior Machine Learning Test Engineer

Boston, MA · On-site +1

$120K - $155K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

SofTec Solutions

QA Analyst

Waltham, MA · On-site

Quality Assurance Analyst Location: Waltham, MA (Boston, MA) Terms: 6 Month Contract-to-Hire ... SQA Engineer activities include learning and maintaining a thorough understanding of all business ...

A & A Industries

Quality Assurance Engineer

Peabody, MA · On-site

$25 - $30/hr

A&A Industries specializes in large, 5-axis machining, and services the semiconductor, aerospace, and energy industries. A&A adheres to a strict global quality assurance standard, ISO 9001 2008 and ...

Samaritans Inc.

Quality Assurance Coordinator

Boston, MA · On-site

$60K - $68K/yr

... learning shift mentors and roleplay mentors to the Manager of Quality Planning, & Assurance KEY CHARACTERISTICS • Minimum of 1-2 years of professional experience in a social service or public ...

Adecco

Quality Assurance Specialist

Lowell, MA · On-site

$20 - $25/hr

Adecco Staffing is seeking a Quality Assurance Specialist for a growing food manufacturing company ... Comfortable working in a manufacturing environment with varying temperatures, machinery noise, and ...

Adecco

Quality Assurance Specialist

Lowell, MA

$20 - $25/hr

Adecco Staffing is seeking a Quality Assurance Specialist for a growing food manufacturing company ... Comfortable working in a manufacturing environment with varying temperatures, machinery noise, and ...

Samaritans

Quality Assurance Coordinator

Boston, MA

$60K - $68K/yr

... learning shift mentors and roleplay mentors to the Manager of Quality Planning, & Assurance KEY CHARACTERISTICS • Minimum of 1-2 years of professional experience in a social service or public ...

Chewy

Machine Learning Engineer II

Boston, MA · On-site

$161K/yr

Research, implement, and test machine learning algorithms and tools to solve data challenges and to improve quality and reliability of data. * Develop machine learning applications according to ...

Chewy

Machine Learning Engineer II

Boston, MA · On-site +1

$161K/yr

Research, implement, and test machine learning algorithms and tools to solve data challenges and to improve quality and reliability of data. * Develop machine learning applications according to ...

CD PROJEKT RED

Technical QA Manager

Boston, MA · On-site

Coordinate the learning process for new team members, if required, and actively contribute to it. Cultivate a culture of continuous learning within the QA team, promoting skill development, knowledge ...

CD PROJEKT RED

Technical QA Manager

Boston, MA · Hybrid

Coordinate the learning process for new team members, if required, and actively contribute to it. Cultivate a culture of continuous learning within the QA team, promoting skill development, knowledge ...

CD PROJEKT RED

Technical QA Lead

Boston, MA · Hybrid

Coordinate the learning process for new team members, if required, and actively contribute to it. Cultivate a culture of continuous learning within the QA team, promoting skill development, knowledge ...

Cipla

QA Operations Specialist

Fall River, MA · On-site

$76K - $103K/yr

Quality Assurance Operation Specialist FLSA Classification : Professional, Exempt Work Location ... Understanding of machines used in pharmaceutical manufacturing. * Must be able to influence ...

Kelly Services

Quality Assurance Manager

Holyoke, MA

$130K/yr

... learning, and evolving , we at Kelly ® hear you--and we're here for you! We're seeking a Quality Assurance Manager to work at a leading organization with locations in Holyoke, MA and New Britain, CT

Cipla

QA Operations Specialist

Fall River, MA · On-site

$76K - $103K/yr

Quality Assurance Operation Specialist FLSA Classification : Professional, Exempt Work Location ... Understanding of machines used in pharmaceutical manufacturing. * Must be able to influence ...

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All JobsMachine Learning Qa JobsMachine Learning Qa Jobs in Massachusetts

Machine Learning Qa information

See Massachusetts salary details

$16

$49

$70

How much do machine learning qa jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for machine learning qa in Massachusetts is $49.01, according to ZipRecruiter salary data. Most workers in this role earn between $39.90 and $59.62 per hour, depending on experience, location, and employer.

What is a Machine Learning QA job?

A Machine Learning QA (Quality Assurance) professional is responsible for testing and validating machine learning models to ensure accuracy, reliability, and performance. They design test cases, create automated testing pipelines, and identify biases or errors in datasets and model outputs. Their role bridges software testing and data science, ensuring that ML systems function correctly in production.

Is AI taking over QA jobs?

AI is transforming QA roles by automating repetitive testing tasks and improving accuracy, but it is not fully replacing QA jobs. Machine Learning QA professionals are increasingly using AI tools to enhance testing efficiency and focus on complex problem-solving, requiring skills in automation, scripting, and data analysis.

Which 3 jobs will survive AI?

Machine Learning QA roles are likely to persist because they require specialized knowledge of testing AI systems, understanding complex algorithms, and ensuring model reliability. Jobs that involve creative thinking, emotional intelligence, and complex problem-solving, such as software developers, data scientists, and AI ethics specialists, are also expected to remain in demand despite AI advancements.

What are the typical daily responsibilities of a Machine Learning QA professional?

A Machine Learning QA professional is primarily responsible for designing, implementing, and executing test plans to ensure the quality and performance of machine learning models and their integration into software products. This often involves developing automated tests, validating dataset integrity, monitoring model outputs, and collaborating closely with data scientists and developers to resolve issues. Additionally, you may participate in code reviews, maintain testing documentation, and contribute to continuous improvement of testing processes. The role is collaborative and requires balancing technical rigor with practical problem-solving to help deliver robust AI-powered applications.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level positions in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and extensive experience. These roles usually involve leadership, strategic planning, and working with complex models and large datasets, often in competitive industries like tech or finance. Compensation at this level reflects significant expertise, responsibility, and impact within an organization.

What are the key skills and qualifications needed to thrive in the Machine Learning Qa position, and why are they important?

Success as a Machine Learning QA requires a solid understanding of software testing principles, machine learning concepts, and programming skills, typically supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and QA automation frameworks, as well as relevant certifications in software testing or ML, are often advantageous. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for ensuring machine learning models function as intended, meet quality standards, and integrate smoothly into production environments.

Is ML a high paying job?

Machine Learning (ML) jobs are generally considered high paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and company, but ML roles often offer competitive compensation compared to other tech positions.
What are popular job titles related to Machine Learning Qa jobs in Massachusetts? For Machine Learning Qa jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Qa jobs in Massachusetts look for? The top searched job categories for Machine Learning Qa jobs in Massachusetts are:
Machine Learning Qa jobs near you
Infographic showing various Machine Learning Qa job openings in Massachusetts as of June 2026, with employment types broken down into 40% Full Time, 55% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $101,936 per year, or $49 per hour.
Senior Machine Learning Test Engineer

Senior Machine Learning Test Engineer

Autodesk, Inc.

Boston, MA • On-site

$120K - $155K/yr

Full-time

Posted 3 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 190 rated software companies

Job description

Job Requisition ID #
26WD98377
Senior Machine Learning Test Engineer
Location: United States East Coast
Position Overview
As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and developers, and software developers and developers to define and uphold quality standards for ML systems. You are a quality-focused developer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation, and a little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software.
Reporting Structure: You will report to an Engineering Manager in Research Enablement.
Location: United States, East Coast Time Zone.
We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotly, in an office, or a mix of both.
Responsibilities
  • Define ML quality strategy and acceptance criteria across data, model, and system levels
  • Design and maintain model evaluation suites, metrics, and test datasets
  • Evaluating CAD RL model outputs for geometric validity or policy stability
  • Defining structured rubrics that translate qualitative findings into measurable evaluation gates
  • Testing ML Models from product side
  • API Testing
  • Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)
  • Create and maintain test harnesses for ML services and APIs
  • Mentor teams on ML QA best practices and consistent evaluation standards
  • Build quality gates for training and deployment pipelines (e.g., regression checks, drift detection)
  • Contribute to multi-team projects and codebases, ensuring code quality and consistency
  • Participate in code reviews and provide constructive feedback to peers
  • Document and present findings and ideas across the company

Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
  • 7+ years of professional experience in software engineering or QA for ML/AI systems
  • Strong programming skills in Python, with experience in test automation
  • Familiarity with popular CAD environments tooling
  • Proficient in Automation and UAT test suite/framework
  • Experience designing QA frameworks or platforms used by multiple teams
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration skills
  • Understanding of software architecture and design patterns
  • Ability to work in an agile development environment

Preferred Qualifications
  • Experience with data validation tooling (e.g., Great Expectations) or labeling workflows
  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience with CI/CD tools and processes
  • Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)
  • Familiarity with MLOps practices (model monitoring, drift, deployment checks)
  • Experience with ML evaluation methods, metrics, and benchmarking
  • Passion for learning new technologies and improving existing systems
  • Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)
  • Experience testing ML services in production environments
  • Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)

The Ideal Candidate
  • You demonstrate initiative to provide solutions and to learn and develop new technologies
  • Comfortable building QA systems from scratch and writing maintainable automation
  • You enjoy learning and collaborating across global locations
  • You are comfortable working in newly forming ambiguous areas
  • You are comfortable building scalable and maintainable systems that will be relied on by others
  • You can communicate well with others

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.
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About Autodesk

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Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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